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Running an open language model on the same machine as a patient's data, with code that blocks any network call, lets a system explain model outputs in words without the data ever leaving the room.
A large language model is an AI model trained on vast text for generation and analysis (Wikipedia), and a clinical decision support system provides clinicians with knowledge and person-specific information in the workflow (Wikipedia). Cloud models cannot see identifiable patient data without agreements, so one design runs an open-weight model locally over a model's derived outputs only, with assertion-style guards that fail loudly if anything would be sent out or committed, and uses a cloud model only for cohort-level summaries of public findings. It is a privacy rule expressed as architecture, complementary to HIPAA and GDPR compliance.
Shares Controlled-access genomic data (dbGaP, EGA), HIPAA (Health Insurance Portability and Accountability Act), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Uncertainty quantification and confidence gates, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Open weights, open code and gated models, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Open weights, open code and gated models, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Controlled-access genomic data (dbGaP, EGA), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Uncertainty quantification and confidence gates, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Uncertainty quantification and confidence gates, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Open weights, open code and gated models, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.